> For the complete documentation index, see [llms.txt](https://eosi-finance-1.gitbook.io/eosi-finance-documentations/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eosi-finance-1.gitbook.io/eosi-finance-documentations/eosi-finance/8-ai-agent-and-strategy-marketplace/8.1-motivation-for-an-agent-marketplace.md).

# 🌱 8.1 Motivation for an Agent Marketplace

While StandR Bot caters to users seeking passive income, many traders and developers have unique strategies. An AI‑agent marketplace gives them a venue to share and monetise their expertise, creating a vibrant economy of trading algorithms.

**Benefits:**

* **Diversity of Strategies:** algorithmic traders can design arbitrage bots, trend‑followers, market‑neutral strategies, RWA strategies, high‑frequency trading (HFT) bots, mean‑reversion models or options strategies. Diversity reduces systemic risk and provides more choices for users.
* **Monetisation:** developers earn fees when users subscribe to their agents. Fees may be flat, performance‑based or a mix. A portion of fees flows back to the EOSI treasury, stakers and the community.
* **Community‑driven vetting:** agents are ranked based on performance, user feedback and risk metrics. Agents that perform poorly are deprecated or removed.
* **Innovation:** the marketplace encourages open experimentation. Developers can fork existing agents, improve them and publish upgraded versions.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://eosi-finance-1.gitbook.io/eosi-finance-documentations/eosi-finance/8-ai-agent-and-strategy-marketplace/8.1-motivation-for-an-agent-marketplace.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.